I might bot be a bug, since in numpy abs is a synonym to absolute. So it is possible that in one case the python's abs is called, and in the other case it's the numpy's.
An explicit example should help to clarify the problem. Nadav. -----הודעה מקורית----- מאת: [EMAIL PROTECTED] בשם David Cournapeau נשלח: ה 25-ספטמבר-08 09:19 אל: Discussion of Numerical Python נושא: Re: [Numpy-discussion] performance of the numpy On Thu, Sep 25, 2008 at 9:36 AM, frank wang <[EMAIL PROTECTED]> wrote: > Hi, All, > > I am using ipython with --pylab flag. ipython loads the numpy into the > workspace, so I do not know abs is from python or numpy. The weird thing is > if I execute the code line by line, I do not have any speed problem. But > when I combine them together into one command, it slowdonws the computer > significantly. Yes, this is the strange part. Isn't it possible to reproduce this in a self contained script, so that we can reproduce the bug ? cheers, David _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
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